code: def test_cross_val_predict_error():
      cv = SlidingWindowForecastCV(step=24, h=1)
      with pytest.raises(ValueError):
          cross_val_predict(ARIMA(order=(2, 1, 0), maxiter=3), y, cv=cv)
  
file_path: pmdarima/pmdarima/model_selection/tests/test_validation.py
imports: from pmdarima.arima import ARIMA
  from pmdarima.warnings import ModelFitWarning
  from pmdarima.compat.pytest import pytest_error_str
  from pmdarima.pipeline import Pipeline
  from pmdarima.preprocessing import FourierFeaturizer
  from pmdarima.model_selection._split import RollingForecastCV, SlidingWindowForecastCV
  from pmdarima.model_selection._validation import cross_val_score, _check_scoring, cross_validate, cross_val_predict, _check_averaging
  from pmdarima.datasets import load_airpassengers
  import pytest
  import numpy
  from unittest import mock
label_desc: Use image node_id 5 for calling a global function with example usage: test_cross_val_predict_error() without return types